Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Beschreibung

All papers were peer-reviewed. For over 25 years the MaxEnt workshops have explored Bayesian and Maximum Entropy methods in scientific, engineering, and signal processing applications. This proceedings volume covers all aspects of probabilistic inference such as techniques, applications, and foundations. Applications include physics, space science, earth science, biology, imaging, graphical models and source separation.

Autor*in

Kevin H. Knuth

Themen in »Bayesian Inference and Maximum Entropy Methods in Science and Engineering«

Probability theory and statistics applications of Bayesian and maximum entropy methods in phys biology computational science earth science information theory signal and image processing space science

Stimmen zu »Bayesian Inference and Maximum Entropy Methods in Science and Engineering«

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